TY - JOUR
T1 - Role of artificial intelligence in COVID‐19 detection
AU - Gudigar, Anjan
AU - Raghavendra, U.
AU - Nayak, Sneha
AU - Ooi, Chui Ping
AU - Chan, Wai Yee
AU - Gangavarapu, Mokshagna Rohit
AU - Dharmik, Chinmay
AU - Samanth, Jyothi
AU - Kadri, Nahrizul Adib
AU - Hasikin, Khairunnisa
AU - Barua, Prabal Datta
AU - Chakraborty, Subrata
AU - Ciaccio, Edward J.
AU - Acharya, U. Rajendra
N1 - Funding Information:
Funding: This research work is funded by Ministry of Higher Education, Malaysia (grant number MRUN2019‐3D).
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - The global pandemic of coronavirus disease (COVID‐19) has caused millions of deaths and affected the livelihood of many more people. Early and rapid detection of COVID‐19 is a challenging task for the medical community, but it is also crucial in stopping the spread of the SARS‐ CoV‐2 virus. Prior substantiation of artificial intelligence (AI) in various fields of science has encouraged researchers to further address this problem. Various medical imaging modalities including X‐ray, computed tomography (CT) and ultrasound (US) using AI techniques have greatly helped to curb the COVID‐19 outbreak by assisting with early diagnosis. We carried out a systematic review on state‐of‐the‐art AI techniques applied with X‐ray, CT, and US images to detect COVID‐19. In this paper, we discuss approaches used by various authors and the significance of these research efforts, the potential challenges, and future trends related to the implementation of an AI system for disease detection during the COVID‐19 pandemic.
AB - The global pandemic of coronavirus disease (COVID‐19) has caused millions of deaths and affected the livelihood of many more people. Early and rapid detection of COVID‐19 is a challenging task for the medical community, but it is also crucial in stopping the spread of the SARS‐ CoV‐2 virus. Prior substantiation of artificial intelligence (AI) in various fields of science has encouraged researchers to further address this problem. Various medical imaging modalities including X‐ray, computed tomography (CT) and ultrasound (US) using AI techniques have greatly helped to curb the COVID‐19 outbreak by assisting with early diagnosis. We carried out a systematic review on state‐of‐the‐art AI techniques applied with X‐ray, CT, and US images to detect COVID‐19. In this paper, we discuss approaches used by various authors and the significance of these research efforts, the potential challenges, and future trends related to the implementation of an AI system for disease detection during the COVID‐19 pandemic.
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U2 - 10.3390/s21238045
DO - 10.3390/s21238045
M3 - Review article
AN - SCOPUS:85120344284
SN - 1424-8220
VL - 21
JO - Sensors
JF - Sensors
IS - 23
M1 - 8045
ER -